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FRDM-KL25Z

FRDM-KL25Z

NXP Semiconductors
Development Boards & Kits - ARM Freedom Development Board for Kinetis KL14, KL15, KL24 and KL25 MCUs. *DOES NOT INCLUDE ACCELEROMETER*
78 in stock
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Overview

The FRDM-KL25Z is an ultra-low-cost development platform for the Kinetis L Series KL1x and KL2x MCUs built on the ARM Cortex-M0+ core. It features a built-in OpenSDA debug adapter, allowing for simple programming and debugging via USB without external hardware. The board is designed for rapid prototyping of battery-powered applications requiring high energy efficiency and a small footprint.

Why Choose This Part

This board provides a high performance-to-power ratio with its 48MHz Cortex-M0+ core and extremely low sleep currents. It includes an Arduino R3 compatible pin header layout, enabling the use of a wide variety of existing expansion shields for fast hardware iteration.

Applications

Battery-Powered Sensors
Leverages the ultra-low power consumption of the M0+ core for remote sensing applications.
USB Peripherals
The integrated USB controller on the KL25 MCU makes it suitable for developing custom HID or CDC devices.
Low-Power Data Loggers
Utilizes 128KB of Flash and 16KB of RAM for logging sensor data in power-sensitive environments.
Education and Prototyping
An ideal entry point for students and engineers transitioning from 8-bit or 16-bit architectures to 32-bit ARM systems.

Key Specifications

Type MCU 32-Bit
Contents Board(s)
Platform Freedom
Mounting Type Fixed
Core Processor ARM Cortex-M0+
Utilized IC / Part KL1x, KL2x

Getting Started

Engineers can begin development using the MCUXpresso IDE, which provides a comprehensive suite of software tools and drivers for Kinetis MCUs. The board is also compatible with the ARM Mbed online ecosystem, allowing for quick cloud-based coding and drag-and-drop programming. Connect the board via the OpenSDA USB port to power the system and start debugging immediately.

Also Consider

Tiva C Series LaunchPad TITexas Instruments - Offers a more powerful Cortex-M4F core with floating-point hardware if higher computational performance is required.

Categories

Wearables & Medical > Ultra-Low Power MCUs
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